pt.tumba.ngram.bayes
Class Inference

java.lang.Object
  pt.tumba.ngram.bayes.Inference

Direct Known Subclasses:

QuasiBayesInference

public class Inference
extends java.lang.Object

Field Summary

protected BayesNet	bn
protected Bucket[]	bucket_for_variable
protected java.util.Vector	bucket_forest
protected BucketTree	bucket_tree
protected boolean	do_produce_clusters
protected static int	EXPLANATION
protected static int	FULL_EXPLANATION
protected static int	IGNORE_EXPLANATION
protected ProbabilityFunction	result

Constructor Summary

Inference(BayesNet b_n, boolean dpc)

Method Summary

private void	add_bucket_tree()
boolean	areClustersProduced() Get the status of the clustering process.
BayesNet	get_bayes_net() Get the BayesNet.
BucketTree	get_bucket_tree() Get the BucketTree.
ProbabilityFunction	get_result() Get the current result of the Inference.
void	inference() Calculation of marginal posterior distribution.
private void	inference(Ordering or)
protected void	inference(java.lang.String queried_variable_name) Calculation of marginal posterior distribution for an arbitrary BayesNet.
protected void	inference(java.lang.String[] order) Calculation of marginal posterior distribution using a given ordering, and an arbitrary BayesNet.
void	print() Print the Inference.
void	print(boolean should_print_bucket_tree) Print the Inference.
void	print(java.io.PrintStream out) Print the Inference.
void	print(java.io.PrintStream out, boolean should_print_bucket_tree) Print the Inference.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

bn

protected BayesNet bn

bucket_tree

protected BucketTree bucket_tree

bucket_for_variable

protected Bucket[] bucket_for_variable

bucket_forest

protected java.util.Vector bucket_forest

result

protected ProbabilityFunction result

do_produce_clusters

protected boolean do_produce_clusters

IGNORE_EXPLANATION

protected static final int IGNORE_EXPLANATION

See Also:

Constant Field Values

EXPLANATION

protected static final int EXPLANATION

See Also:

Constant Field Values

FULL_EXPLANATION

protected static final int FULL_EXPLANATION

See Also:

Constant Field Values

Constructor Detail

Inference

public Inference(BayesNet b_n,
                 boolean dpc)

Method Detail

inference

public void inference()

Calculation of marginal posterior distribution.

inference

protected void inference(java.lang.String queried_variable_name)

Calculation of marginal posterior distribution for an arbitrary BayesNet.

inference

protected void inference(java.lang.String[] order)

Calculation of marginal posterior distribution using a given ordering, and an arbitrary BayesNet.

inference

private void inference(Ordering or)

add_bucket_tree

private void add_bucket_tree()

print

public void print()

Print the Inference.

print

public void print(java.io.PrintStream out)

Print the Inference.

print

public void print(boolean should_print_bucket_tree)

Print the Inference.

print

public void print(java.io.PrintStream out,
                  boolean should_print_bucket_tree)

Print the Inference.

get_bucket_tree

public BucketTree get_bucket_tree()

Get the BucketTree.

get_bayes_net

public BayesNet get_bayes_net()

Get the BayesNet.

get_result

public ProbabilityFunction get_result()

Get the current result of the Inference.

areClustersProduced

public boolean areClustersProduced()

Get the status of the clustering process.